Results 31 to 40 of about 69 (67)

Measuring Middle Grades Teachers' Understanding of Rational Numbers with the Mixture Rasch Model

The Elementary School Journal, 2010
Abstract We report the development of a multiple-choice instrument that measures the mathematical knowledge needed for teaching arithmetic with fractions, decimals, and proportions. In particular, the instrument emphasizes the knowledge needed to reason about such arithmetic when numbers are embedded in problem situations.
Andrew Izsák, Chandra Hawley Orrill, Allan S. Cohen, Rachael Eriksen Brown   +3 more
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The Impact of Multidimensionality on Extraction of Latent Classes in Mixture Rasch Models

Journal of Educational Measurement, 2018
AbstractThis study investigates the effect of multidimensionality on extraction of latent classes in mixture Rasch models. In this study, two‐dimensional data were generated under varying conditions. The two‐dimensional data sets were analyzed with one‐ to five‐class mixture Rasch models. Results of the simulation study indicate the mixture Rasch model
Yoonsun Jang, Seock‐Ho Kim, Allan S. Cohen   +2 more
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Multivariate and Mixture Distribution Rasch Models by von Davier & Carstensen

Applied Measurement in Education, 2008
The Rasch model may be seen as elegantly simple. Its simplicity comes from its characterizing an item in terms of a single parameter, the item's location on a continuum, and also locating the perso...
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When raters generalize: Examining sources of halo effects with mixture Rasch facets models

Behavior Research Methods
Halo effects are commonly considered a cognitive or judgmental bias leading to rating error when raters assign scores to persons or performances on multiple criteria. Though a long tradition of research has pointed to possible sources of halo effects, measurement models for identifying these sources and detecting halo have been lacking.
Kuan-Yu Jin, Thomas Eckes
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DIFFERENT APPROACHES TO COVARIATE INCLUSION IN THE MIXTURE RASCH MODEL

2014
The present dissertation project investigates different approaches to adding covariates and the impact in fitting mixture item response theory (IRT) models. Mixture IRT models serve as an important methodology for tackling several important psychometric issues in test development, including detecting latent differential item functioning (DIF).
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Latent Change in Discrete Data: Unidimensional, Multidimensional, and Mixture Distribution Rasch Models for the Analysis of Repeated Observations

1998
A survey of unidimensional, multidimensional, and mixture distribution Rasch models is presented with a particular focus on model applications for the analysis of change in repeated measures designs. A mover-stayer mixed Rasch model is specified for modeling global change in one of two latent subpopulations and for modeling stability in the other ...
Meiser, T., Stern, E., Langeheine, R.
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Spurious Latent Classes in the Mixture Rasch Model

Journal of Educational Measurement, 2011
Natalia Alexeev, Jonathan Templin, Allan S. Cohen   +2 more
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The biofilm life cycle: expanding the conceptual model of biofilm formation

Nature Reviews Microbiology, 2022
Karin Sauer, Paul Stoodley, Darla M Goeres   +2 more
exaly  

Supplementary Material: Regularized Mixture Rasch Model

2022
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A Mixture Rasch Model Analysis of Data from a Survey of Novice Teacher Core Competencies

2022
Although the Rasch model is used to measure latent traits like attitude or ability where there are multiple latent structures within the dataset it is best to use a technique called the Mixture Rasch Model (MRM) which is a combination of a Rasch model and a latent class analysis (LCA). This study used data from a survey for teachers, teacher candidates,
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